CN113168295A - Apparatus and method for performing a calibration test of printing on an article - Google Patents
Apparatus and method for performing a calibration test of printing on an article Download PDFInfo
- Publication number
- CN113168295A CN113168295A CN201980073355.4A CN201980073355A CN113168295A CN 113168295 A CN113168295 A CN 113168295A CN 201980073355 A CN201980073355 A CN 201980073355A CN 113168295 A CN113168295 A CN 113168295A
- Authority
- CN
- China
- Prior art keywords
- data
- item
- printing
- image
- printing process
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 74
- 238000007639 printing Methods 0.000 title claims abstract description 69
- 238000012360 testing method Methods 0.000 title claims abstract description 21
- 238000007689 inspection Methods 0.000 claims description 23
- 230000007935 neutral effect Effects 0.000 claims description 18
- 238000010801 machine learning Methods 0.000 claims description 6
- 238000001454 recorded image Methods 0.000 claims description 3
- 238000010586 diagram Methods 0.000 description 4
- 230000003287 optical effect Effects 0.000 description 4
- 238000004519 manufacturing process Methods 0.000 description 3
- 230000001419 dependent effect Effects 0.000 description 2
- 238000012544 monitoring process Methods 0.000 description 2
- 238000012545 processing Methods 0.000 description 2
- 238000000429 assembly Methods 0.000 description 1
- 230000000712 assembly Effects 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 238000003384 imaging method Methods 0.000 description 1
- 238000004886 process control Methods 0.000 description 1
- 238000003908 quality control method Methods 0.000 description 1
- 238000010200 validation analysis Methods 0.000 description 1
- 238000012795 verification Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/12—Digital output to print unit, e.g. line printer, chain printer
- G06F3/1201—Dedicated interfaces to print systems
- G06F3/1202—Dedicated interfaces to print systems specifically adapted to achieve a particular effect
- G06F3/1203—Improving or facilitating administration, e.g. print management
- G06F3/1208—Improving or facilitating administration, e.g. print management resulting in improved quality of the output result, e.g. print layout, colours, workflows, print preview
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
- G06T7/0004—Industrial image inspection
- G06T7/001—Industrial image inspection using an image reference approach
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/12—Digital output to print unit, e.g. line printer, chain printer
- G06F3/1201—Dedicated interfaces to print systems
- G06F3/1223—Dedicated interfaces to print systems specifically adapted to use a particular technique
- G06F3/1237—Print job management
- G06F3/1253—Configuration of print job parameters, e.g. using UI at the client
- G06F3/1256—User feedback, e.g. print preview, test print, proofing, pre-flight checks
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/12—Digital output to print unit, e.g. line printer, chain printer
- G06F3/1201—Dedicated interfaces to print systems
- G06F3/1278—Dedicated interfaces to print systems specifically adapted to adopt a particular infrastructure
- G06F3/1279—Controller construction, e.g. aspects of the interface hardware
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06K—GRAPHICAL DATA READING; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K15/00—Arrangements for producing a permanent visual presentation of the output data, e.g. computer output printers
- G06K15/02—Arrangements for producing a permanent visual presentation of the output data, e.g. computer output printers using printers
- G06K15/027—Test patterns and calibration
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20081—Training; Learning
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30108—Industrial image inspection
- G06T2207/30144—Printing quality
Abstract
The invention relates to a device (100) for calibration testing of printing of an article, the device (100) comprising: a data providing device (10) adapted to provide print data of an item from product data of the item; -a camera device (20) adapted to capture an image of an item printed by the printing process and provide it as image data; a database device (30) adapted to provide calibration data for the camera device (20); and a computer device (40) adapted to perform a quality check of the printing process based on a comparison of the printing data with the image data, taking into account the calibration data.
Description
Technical Field
The invention relates to a system for inspecting a printing process.
In particular, the present invention relates to an apparatus and method for performing calibration tests on an article or printing on an article.
Background
Optical printing process verification of freely configurable items cannot rely on a database of photographs printed of items meeting standards and quality standards.
Article prints can typically be printed onto new, custom-configured articles that have not been produced or are only produced infrequently, so no image data is available for successful printing meeting quality standards.
Manual learning processes or conventional production control with optical systems and imaging processes and automatic optical inspection processes based on such image databases with a large number of images of correctly performed printing processes are therefore often not possible for freely configurable items and fail due to the availability of corresponding learning data and image databases.
Disclosure of Invention
It is an object of the present invention to provide an improved apparatus and method for inspecting the printing of articles.
This problem is solved by the subject and object of the independent patent claims. Further embodiments can be found in the dependent patent claims, the description and the drawings.
A first aspect of the invention relates to an apparatus for calibration checking of printing on an article, the apparatus comprising a data providing device, a camera device, a database device and a computer device.
The data providing device is adapted to provide print data of the item from product data of the item.
The camera device is adapted to capture an image of an item printed by the printing process and provide it as image data. The image of the printed article is digitized by an electronic image converter or image sensor and provided in the form of image data.
The database device is configured to provide calibration data for the camera device.
The computer device is configured to perform a quality check of the printing process based on a comparison of the printing data with the image data, taking into account the calibration data. The computer device is adapted to perform an automated optical inspection process to properly print the article.
The invention makes it possible to monitor the printing of a product using product data relating to the product individually assembled for the customer on the basis of predicted characteristics, without the need for learning data from previously performed and previously recorded printing operations for this purpose.
The invention is based on the fact that the learning data and the inspection information are generated via known calibration data of the camera system, on the basis of which the image processing system can perform quality control of the printed image.
The present invention enables the creation of search models and comparison models for generating synthetic learning data from existing print data and calibration data.
The search model allows for the location of the print to be determined and for more accurate alignment of the comparison model. The comparison model allows images captured with real camera images of printed objects to be compared with the generated learning data and inspection information. The generated learning data and inspection information may include a virtual image or a calculated partial view of the printed object. This allows an estimate of the quality level of the controlled printing.
Thus, the reliability of monitoring of the printing process can be improved. The control device can reliably detect a printing error situation, without a corresponding printing having been performed on the printed item before.
This provides a monitoring function for the printing process, in particular in the field of freely configurable and customer-specific assembled products, which allows process control of the printing of items newly created by the configurator and the variant configurator.
The invention enables quality inspection of printing and quality inspection of other article characteristics, thereby deriving the required information from the product data. This allows the newly created item to be inspected even without the manual teaching of an inspection system. Thus, no prototype of the article is required, which is only used to obtain a reference image of the correctly printed article.
Further advantageous embodiments of the invention can be found in the dependent claims.
In an advantageous embodiment of the invention it is provided that the computer device is adapted to generate learning data and/or inspection information for a quality inspection of the printing process in a learning phase of the computer device.
This also advantageously enables freely configurable (either limitedly configurable or infinitely configurable) articles to be subjected to printing process inspection and to inspect the printing even in the case of newly produced articles, without the need for a large number of reference images depicting the correct printed image on the model article. For any configuration of items, the learning data may be calculated by software algorithms.
In an advantageous embodiment of the invention it is provided that the computer device is adapted to generate an inspection pattern for a quality inspection of the printing process based on the learning data and/or inspection information by machine learning.
In an advantageous embodiment of the invention it is provided that the computer device is adapted to generate a search model and/or a comparison model as a test pattern for a quality test by machine learning on the basis of the recorded image data and/or the calibration data.
In an advantageous embodiment of the invention it is provided that the computer device is adapted to use the search model for position determination of the printed matter and/or for applying the comparison model to a calibration registration of the captured image data.
In an advantageous embodiment of the invention it is provided that the computer device is adapted to compare the virtual image of the item with the image of the item captured by the camera device for a quality check of the printing process as an application of the comparison model and to generate a quality grade of the printing of the item.
In an advantageous embodiment of the invention, provision is made for the product data to be provided in a neutral data format.
In an advantageous embodiment of the invention, the setting to said neutral data format comprises:
i) XML format; and/or
ii) a platform independent data format; and/or
iii) an implementation-independent data format; and/or
iv) M2M data format.
In a second aspect of the invention, a method for performing a calibration test on printing of an article is provided, the method comprising the method steps of:
as a first method step, the printed data of the item are provided from the product data of the item by means of a data provision device. Optionally, the product data is provided in a neutral data format.
As a second method step, an image of the item printed by the printing process is recorded by means of a camera device, and image data is provided on the basis of the recorded image by means of the camera device.
As a third method step, calibration data for the camera device are provided by means of a database device.
As a fourth method step, a quality check of the printing process is carried out by means of a computer device on the basis of a comparison of the printing data with the image data taking into account the calibration data.
In an advantageous embodiment of the invention, it is provided that the method further comprises the following method steps:
generating learning data for a quality check of the printing process in a learning phase of the computer device; and/or
Generating inspection information for a quality inspection of the printing process in a learning phase of the computer device.
In an advantageous embodiment of the invention it is provided that the method provides print data in a neutral data format, and preferably the neutral data format comprises:
i) XML format; and/or
ii) a platform independent data format; and/or
iii) an implementation-independent data format; and/or
iv) M2M data format.
In an advantageous embodiment of the invention, provision is made for, for a quality check of the printing process, an inspection pattern for the quality check to be generated by machine learning on the basis of the learning data and/or the inspection information.
In an advantageous embodiment of the invention, it is provided that the search model is used for the position determination of the printed matter.
In an advantageous embodiment of the invention, the application of the comparison model to the captured image data is performed for calibration of the alignment.
According to an advantageous embodiment of the invention, it is provided that for a quality check of the printing process, as an application of the comparison model, the virtual image of the item is compared with an image of the item captured by the camera device and on the basis thereof a quality grade of the printing of the item is established.
According to a third aspect, the invention comprises a data structure format, preferably comprising product data of an item presented in a neutral data format, and adapted for use in a method for calibration checking of printing of an item according to one of the second aspects or any embodiment of the second aspect.
The described embodiments and further embodiments may be combined with each other as desired.
Other possible embodiments, further embodiments and implementations of the invention also include combinations of features of the invention described before or after with respect to embodiments not explicitly mentioned.
The accompanying drawings are included to provide a further understanding of embodiments of the invention.
The drawings illustrate embodiments and, together with the description, serve to explain the concepts of the invention.
Other embodiments and many of the advantages mentioned will be apparent with reference to the accompanying drawings. The elements shown in the various figures of the drawings are not necessarily to scale relative to each other.
Drawings
FIG. 1 shows a schematic diagram of an apparatus for printed calibration testing on an article according to an embodiment of the invention;
FIG. 2 shows a schematic flow diagram of a method for printed calibration testing of an article according to an embodiment of the invention; and
FIG. 3 shows a schematic diagram of a data structure for a printed calibration test of an article according to an embodiment of the invention.
Detailed Description
In the drawings, like reference numbers indicate identical or functionally identical elements, components, assemblies, or process steps, unless otherwise indicated. The term "neutral data format" as used herein includes data or file formats used, for example, for neutral file exchange between elements (e.g., computers) of a computer network.
For example, the term "neutral data format" as used herein may be understood as an intermediate file format for converting data between participating systems of a computer network (e.g., a production system or an ordering system-a webstore-or an internal data processing system-a backend).
In other words, a neutral file is generated from the raw data available in the other file formats. Unlike the raw data, however, the target system can read and process neutral files.
The term "product data", particularly product data of an item, as used herein, describes data such as defining and classifying items, particularly according to a particular customer's configuration. In other words, the product data is used to describe and identify parameters, characteristics, and design options for the article.
Fig. 1 shows a schematic representation of an apparatus for printed calibration testing of an article according to an embodiment of the invention.
The apparatus 100 comprises a data providing device 10, a camera device 20, a database device 30 and a computer device 40.
The data providing device 10 is adapted to provide print data of an item from product data of the item.
The camera device 20 is adapted to take an image of an item printed by the printing process and provide it as image data.
The database device 30 is adapted to provide calibration data for the camera device.
The calibration data of the camera device 20 may include, for example, learning data and inspection information, and may be associated with a respective type of the camera device 20, or may be selected according to an illuminance prevailing at the time of capturing the image by the camera device 20.
The computer device 40 is adapted to perform a quality check of the printing process based on a comparison of the printing data with the image data, taking into account the calibration data.
The method enables control of the printing process of freely configurable articles. The device may be coupled with a computer-aided product manufacturing system and an internet-based product configuration system and provide an autonomous and customizable validation system through M2M communication.
Fig. 2 shows a schematic flow diagram of a method for inspecting printing of an article according to an embodiment of the invention.
As a first method step, providing S1 of the printing data for the item is performed by the data providing device on the basis of the product data of the item.
The neutral data format may be, for example, an XML format, a platform independent data format, an implementation independent data format, or an M2M data format.
As a second method step, an image of the item printed by the printing process is captured S2 by means of a camera device, and image data is provided based on the captured image by means of the camera device.
As a third method step, calibration data for the camera device are provided S3 by means of a database device.
As a fourth method step, a quality check of the printing process is performed S4 on the basis of a comparison of the printing data with the image data by means of a computer device taking into account the calibration data.
FIG. 3 shows a schematic representation of a data structure for calibration checking of printing on an article according to an embodiment of the invention.
The data structure format shown in FIG. 3 may include product data for an item presented in a neutral data format. Further, the data structure format may be adapted for use by a method for performing calibration checks on printing of an article.
Further, in the data structure format shown, the neutral data format may be
i) XML format; and/or
ii) a platform independent data format; and/or
iii) an implementation-independent data format; and/or
iv) M2M data format.
The data structure format may include hierarchically structured product data in a text file format.
Although the present invention has been described above with reference to the preferred embodiments, the present invention is not limited thereto but may be modified in various ways. In particular, the present invention may be changed or modified in various ways without departing from the essence thereof.
In addition, it should be noted that "comprising" and "comprises" do not exclude other elements or steps and "a" or "an" does not exclude a plurality.
It should further be noted that features or steps which have been described with reference to any of the above embodiments may also be used in combination with other features or steps of other embodiments described above.
Reference signs in the claims shall not be construed as limiting.
Claims (13)
1. An apparatus (100) for performing a calibration test on a print on an article, the apparatus (100) comprising:
-a data providing device (10) adapted to provide print data of an item from product data of the item;
-a camera device (20) adapted to capture an image of an item printed by the printing process and provide it as image data; and
-a database device (30) adapted to provide calibration data for the camera device (20); and
-a computer device (40) configured to perform a quality check of the printing process based on a comparison of the printing data and the image data, taking into account the calibration data.
2. The device (100) of claim 1,
wherein the computer device (30) is designed to generate learning data and/or test information for a quality test of the printing process in a learning phase of the computer device (30).
3. The device (100) of claim 2,
wherein the computer device (30) is designed to generate a test pattern for a quality test of the printing process by machine learning based on the learning data and/or test information for the quality test.
4. The device (100) of claim 3,
wherein the computer device (30) is designed to generate a search model and/or a comparison model as a test pattern for the quality test by machine learning on the basis of the recorded image data and/or the calibration data.
5. The device (100) of claim 4,
wherein the computer device (30) is adapted to use the search model for position determination of the print and/or for applying the comparison model to a calibration alignment of the captured image data.
6. The device (100) of claim 5,
wherein the computer device (30) is adapted to compare the virtual image of the item with an image of the item captured by the camera device (20) for a quality check of the printing process as an application of the comparison model and to generate a quality grade of the printing of the item.
7. The device (100) according to any one of the preceding claims,
wherein the data providing device (10) is adapted to provide print data of an item from product data of the item available in a neutral data format; and is
Wherein preferably said neutral data format comprises
i) XML format; and/or
ii) a platform independent data format; and/or
iii) an implementation-independent data format; and/or
iv) M2M data format.
8. A method for performing a calibration check on printing of an article, the method comprising the method steps of:
-providing (S1) printing data of the item from the product data of the item by means of the data providing device;
-capturing (S2) an image of an item printed by the printing process by means of a camera device, and providing image data based on the captured image by means of the camera device;
-providing (S3) calibration data of the camera device by means of a database device; and
-performing (S4) a quality check of the printing process based on the comparison of the printing data with image data by means of a computer device taking into account the calibration data.
9. The method of claim 8, wherein the first and second light sources are selected from the group consisting of,
wherein the method further comprises the method steps of:
generating learning data for a quality check of the printing process in a learning phase of the computer device; and/or
Generating inspection information for a quality inspection of the printing process in a learning phase of the computer device.
10. The method according to claim 8 or 9,
wherein a test pattern for quality inspection of the printing process is generated by machine learning based on the learning data and/or inspection information.
11. The method according to any one of the preceding claims 8 to 10,
wherein the search model is used for location determination of the printed matter; and/or
Wherein the comparison model is applied to the captured image data for calibration alignment.
12. The method according to any one of the preceding claims 8 to 11,
wherein for a quality check of the printing process, as an application of the comparison model, the virtual image of the item is compared with an image of the item taken by the camera device and a quality level of the printing of the item is established on the basis thereof.
13. The method according to any one of the preceding claims 8 to 12,
wherein the print data for the item is provided in a neutral data format from product data for available items; and is
Wherein preferably said neutral data format comprises
i) XML format; and/or
ii) a platform independent data format; and/or
iii) an implementation-independent data format; and/or
iv) M2M data format.
Applications Claiming Priority (3)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| BE20185788A BE1026775B1 (en) | 2018-11-09 | 2018-11-09 | Device and method for calibrated checking of the printing on an article |
| BEBE2018/5788 | 2018-11-09 | ||
| PCT/EP2019/080754 WO2020094870A1 (en) | 2018-11-09 | 2019-11-08 | Device and method for the calibrated checking of a printing on an article |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN113168295A true CN113168295A (en) | 2021-07-23 |
Family
ID=64556624
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201980073355.4A Pending CN113168295A (en) | 2018-11-09 | 2019-11-08 | Apparatus and method for performing a calibration test of printing on an article |
Country Status (5)
| Country | Link |
|---|---|
| US (1) | US11557032B2 (en) |
| EP (1) | EP3877835A1 (en) |
| CN (1) | CN113168295A (en) |
| BE (1) | BE1026775B1 (en) |
| WO (1) | WO2020094870A1 (en) |
Families Citing this family (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| PL3650224T3 (en) * | 2018-11-09 | 2023-09-18 | Phoenix Contact Gmbh & Co. Kg | Device and method for printing an article |
| JP2021157303A (en) * | 2020-03-25 | 2021-10-07 | 東京エレクトロン株式会社 | Abnormality detection device and abnormality detection method |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH0888713A (en) * | 1994-09-19 | 1996-04-02 | Hitachi Ltd | Information processor |
| CN101228780A (en) * | 2005-07-20 | 2008-07-23 | 伊斯曼柯达公司 | Adaptive printing |
| CN102087701A (en) * | 2009-12-04 | 2011-06-08 | 株式会社理光 | Printed matter examination apparatus, printed matter examination method and printed matter examination system |
| CN102555443A (en) * | 2010-12-13 | 2012-07-11 | 海德堡印刷机械股份公司 | System and method for creating and inspecting prints with static and variable content |
| JP2016051297A (en) * | 2014-08-29 | 2016-04-11 | 凸版印刷株式会社 | Inspection device and inspection method of printed matter |
Family Cites Families (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6606395B1 (en) * | 1999-11-29 | 2003-08-12 | Xerox Corporation | Method to allow automated image quality analysis of arbitrary test patterns |
| JP4348381B2 (en) * | 2007-05-30 | 2009-10-21 | 富士通株式会社 | Image encryption / decryption device, method and program |
| US8384963B2 (en) | 2009-09-29 | 2013-02-26 | Konica Minolta Laboratory U.S.A., Inc. | System and method for monitoring output of printing devices |
| EP2778892B1 (en) * | 2013-03-11 | 2022-08-10 | Esko Software BV | Method and system for inspecting variable-data printing |
| US9774839B2 (en) * | 2013-08-30 | 2017-09-26 | Glasses.Com Inc. | Systems and methods for color correction of images captured using a mobile computing device |
| US20180082115A1 (en) | 2015-07-17 | 2018-03-22 | Hp Indigo B.V. | Methods of detecting moire artifacts |
| DE102016100057A1 (en) * | 2016-01-04 | 2017-07-06 | Océ Holding B.V. | Method for determining the print quality of an inkjet printing system |
-
2018
- 2018-11-09 BE BE20185788A patent/BE1026775B1/en active IP Right Grant
-
2019
- 2019-11-08 WO PCT/EP2019/080754 patent/WO2020094870A1/en unknown
- 2019-11-08 US US17/290,967 patent/US11557032B2/en active Active
- 2019-11-08 CN CN201980073355.4A patent/CN113168295A/en active Pending
- 2019-11-08 EP EP19797761.4A patent/EP3877835A1/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH0888713A (en) * | 1994-09-19 | 1996-04-02 | Hitachi Ltd | Information processor |
| CN101228780A (en) * | 2005-07-20 | 2008-07-23 | 伊斯曼柯达公司 | Adaptive printing |
| CN102087701A (en) * | 2009-12-04 | 2011-06-08 | 株式会社理光 | Printed matter examination apparatus, printed matter examination method and printed matter examination system |
| CN102555443A (en) * | 2010-12-13 | 2012-07-11 | 海德堡印刷机械股份公司 | System and method for creating and inspecting prints with static and variable content |
| JP2016051297A (en) * | 2014-08-29 | 2016-04-11 | 凸版印刷株式会社 | Inspection device and inspection method of printed matter |
Also Published As
| Publication number | Publication date |
|---|---|
| WO2020094870A1 (en) | 2020-05-14 |
| US20220036529A1 (en) | 2022-02-03 |
| BE1026775A1 (en) | 2020-06-05 |
| EP3877835A1 (en) | 2021-09-15 |
| BE1026775B1 (en) | 2020-06-08 |
| US11557032B2 (en) | 2023-01-17 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| TWI653605B (en) | Automatic optical detection method, device, computer program, computer readable recording medium and deep learning system using deep learning | |
| US11132787B2 (en) | Method for monitoring manufacture of assembly units | |
| US11449980B2 (en) | System and method for combined automatic and manual inspection | |
| CN106383131B (en) | Visual detection method, device and system for printed matter | |
| EP3043298A1 (en) | System and method for using an internet of things network for managing factory production | |
| CN109060817B (en) | Artificial intelligence reinspection system and method thereof | |
| KR102108956B1 (en) | Apparatus for Performing Inspection of Machine Vision and Driving Method Thereof, and Computer Readable Recording Medium | |
| KR20190084167A (en) | Printed circuit board inspecting apparatus, method for determining fault type of screen printer and computer readable recording medium | |
| US11557032B2 (en) | Device and method for the calibrated checking of a printing on an article | |
| TWI770015B (en) | Inspection processing device, inspection system, item master registration device, inspection processing method, and program | |
| KR20110105512A (en) | Inspection method | |
| JP2015087940A (en) | Information processing device, information processing method and program | |
| CN117274245B (en) | AOI optical detection method and system based on image processing technology | |
| US11150849B2 (en) | Device and method for checking the printing of an article | |
| JP7440823B2 (en) | Information processing device, information processing method and program | |
| JP5824550B1 (en) | Data management apparatus and data management program | |
| KR20200006028A (en) | Printed circuit board inspecting apparatus, method for determining fault type of screen printer and computer readable recording medium | |
| KR102524151B1 (en) | Labeling learning method of artificial intelligence machine for smart products inspection | |
| CN105100825A (en) | Method and apparatus for sequencing metadata events | |
| KR102174424B1 (en) | Method for Inspecting Component basesd Server and system and apparatus therefor | |
| Viharos et al. | Vision based, statistical learning system for fault recognition in industrial assembly environment | |
| JPWO2022003919A5 (en) | ||
| Pathak et al. | Alignment based inspection framework for additive manufactured parts | |
| US20210055235A1 (en) | Method to Automatically Inspect Parts Using X-Rays | |
| CN116358834A (en) | Interface component detection equipment and method |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |